Proof that a function is of exponential order

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The discussion centers on determining whether the function x * ln(x) is of exponential order, defined as |f(x)| ≤ M * exp(a * x) for all x ≥ X. The initial approach compares ln(x) to x, concluding that since ln(x) grows slower than x, x * ln(x) is bounded by x^2. However, it is clarified that x^2 itself is not of exponential order, which undermines the argument. The conversation reveals confusion about the definition of "of exponential order," emphasizing that the function must not only grow slower but also not exceed the rate of a specific exponential function. Ultimately, the conclusion is that x * ln(x) does not satisfy the criteria for being of exponential order.
awelex
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Hi,

I'm being asked to test whether a function is of exponential order, i.e. whether

abs( f(x) ) <= M*exp(a * t), for all t >= T (which is finite).

The function is x * ln( x ).

Now, I have the solution right here, so I know how to solve it. However, I did it a different way and wanted to ask if it is valid as well. Here it goes:

First, observe that ln( x ) < x for large x, because

ln( x ) grows that a slower rate than x.

Therefore,

abs(x * ln( x )) <= x^2.

If we can show that x^2 is of exponential order, then we have also shown that x * ln( x ) is of exponential order.

x^2 = exp( 2 * ln( x )), which is clearly of exponential order.I think the problem with this approach is the step where I show that ln( x ) < x for large x. I know that that is right by intuition and by looking at the graphs, but I don't think that I've proved it properly. I'm sure it is not enough to prove that one function grows slower than the other (i.e. that one derivative is always smaller than the other after a certain value). How do I proof this in a rigorous way?

Thanks,

Alex

EDIT: How about the following: after x = 1, ln( x ) grows slower than x. But since ln( 1 ) < 1, it follows that after x=1 ln( x ) will always be less than x (probably even before that). Is that good enough?
 
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Take the function f(x) = x-log(x) for x >= 2. the derivative is 1-1/x, which is positive. If f(x) = 0 for any x >= 2, rolles theorem says that f'(c) = 0 for some c between 2 and x. This is impossible, and since e.g. f(e) = e-1 > 0, the intermediate value theorem implies that f(x) must always be positive, and hence that x > log(x) for all x >= 2.

I used 2 and e as arbitrary constants a and b such that 1<a and 1<b to ensure that the derivative is positive, and without having to prove that 2 > log(2).
 
Or a direct way:

\frac 1 t &lt; 1 \hbox{ if } t&gt;1
\int_1^x\frac 1 t\,dt &lt; \int_1^x 1\,dt
\ln(x)-\ln(1) &lt; x-1
\ln(x)&lt;x-1&lt;x
 
awelex said:
Hi,

I'm being asked to test whether a function is of exponential order, i.e. whether

abs( f(x) ) <= M*exp(a * t), for all t >= T (which is finite).
This is incorrect. It should be "|f(x)|\le M exp(ax) for all x\ge X". You can't change variables.

The function is x * ln( x ).

Now, I have the solution right here, so I know how to solve it. However, I did it a different way and wanted to ask if it is valid as well. Here it goes:

First, observe that ln( x ) < x for large x, because

ln( x ) grows that a slower rate than x.
Yes, that is true.

Therefore,

abs(x * ln( x )) <= x^2.

If we can show that x^2 is of exponential order, then we have also shown that x * ln( x ) is of exponential order.

x^2 = exp( 2 * ln( x )), which is clearly of exponential order.
No, exp(2 ln(x)) is NOT of exponential order. It is of the form "Me^{af(x)}" where M= 1, a= 2, and f(x)= ln(x) but that is NOT of the form "Me^{ax}". You cannot just insert a (slowly increasing) nfunction of x in place of x itself.


I think the problem with this approach is the step where I show that ln( x ) < x for large x. I know that that is right by intuition and by looking at the graphs, but I don't think that I've proved it properly. I'm sure it is not enough to prove that one function grows slower than the other (i.e. that one derivative is always smaller than the other after a certain value). How do I proof this in a rigorous way?

Thanks,

Alex

EDIT: How about the following: after x = 1, ln( x ) grows slower than x. But since ln( 1 ) < 1, it follows that after x=1 ln( x ) will always be less than x (probably even before that). Is that good enough?
Your fundamental problem is NOT if this is "good enough". Your fundamental problem is that you are trying to prove that xln(x) is of exponential order and it is NOT.

In fact, you have shown that xln(x) increases more slowly than x^2 which is NOT of exponential order itself.
 
HallsofIvy said:
In fact, you have shown that xln(x) increases more slowly than x^2 which is NOT of exponential order itself.

Either I'm too drunk to read what you said or you don't mean that.

x2<ex for (even not very) large x.
 
Confusion as to exactly what "of exponential order" meant- does the function increase at the same rate as Me^{kx} for some M and k or just not as fast. I see now that we are talking about the second here.
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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